social media rabbit holes, clusters, and the relative mixing times of random walks
Summary
This post analyzes a year-long Twitter data sample (2012) to identify affinity groups by extracting domain names from tweet links and visualizing them with PCA and t-SNE. It reveals tightly clustered right-wing domains compared to looser left-wing clusters and discusses how this affects recommender systems and random-walk mixing times on social feeds.